Application of synthetic aperture radar (SAR) imagery to volcano mapping in the humid tropics: a case study in East Java, Indonesia

Carn, S. A.

doi:10.1007/s004450050265

Cited by 39 publications

(27 citation statements)

References 33 publications

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“…Carn 1999). Satellite-based radar imagery has been used to map Nyamuragira's lava flows (Colclough 2005;Smets et al 2010), although Colclough (2005), who attempted mapping of the 1998 and 2001 Nyamuragira flows, points out that radar prohibited the mapping of all downslope flow sections.…”

Section: History Of Nyamuragira Lava Flow Mappingmentioning

confidence: 99%

Mapping lava flows from Nyamuragira volcano (1967–2011) with satellite data and automated classification methods

Head¹,

Maclean²,

Carn³

2013

Geomatics, Natural Hazards and Risk

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The volume, location and extent of historical lava flows are important when assessing volcanic hazards, as well as the productivity or longevity of a volcanic system. We use a Landsat/Hyperion/ALI dataset and automated classification methods to map lava flows at Nyamuragira volcano in the Democratic Republic of the Congo. The humid tropical climate of Nyamuragira is advantageous because its lava flows are emplaced onto heavily forested flanks, resulting in strong contrast between lava and vegetation, which contributes to efficient flow mapping. With increasing age, there is an increase in Landsat band-4 reflectance, suggesting lava flow revegetation with time. This results in a distinct spectral contrast to delineate overlapping flows emplaced *5 years apart. Areal extents of the flows are combined with published lava flow thicknesses to derive volumes. The Landsat/ Hyperion/ALI dataset is advantageous for mapping future flows quickly and inexpensively, particularly for volcano observatories where resources are limited.

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Section: History Of Nyamuragira Lava Flow Mappingmentioning

confidence: 99%

Mapping lava flows from Nyamuragira volcano (1967–2011) with satellite data and automated classification methods

Head¹,

Maclean²,

Carn³

2013

Geomatics, Natural Hazards and Risk

Self Cite

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“…This trend appears to be more or less parallel to the tectonic lineament [13] and shows the migration of volcanic activity from west to east across the caldera. The youngest part of this cinder cone is the Ijen Crater [12].…”

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confidence: 80%

Magnetotelluric-Geochemistry Investigations of Blawan Geothermal Field, East Java, Indonesia

et al. 2017

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An integrated magnetotelluric (MT) and geochemical study of the Blawan geothermal field has been performed. The character of the hot springs, the reservoir temperature, and geothermal reserve potential of Blawan geothermal field are assessed. MT measurements, with 250 m up to 1200 m spacings, were made at 19 sites, and 6 locations at the Blawan hot springs have been sampled for geochemical survey. The results of 2D modelling indicated that the geothermal system in the research area consisted of a cap rock zone (≤32 Ω·m), reservoir zone (>32 -≤512 Ω·m), and heat source zone (>512 Ω·m), and also identified faults. The characteristics of the hot spring water were identified through analyzing the major and minor elements. A ternary diagram (Cl-SO 4 -HCO 3 ) showed that the Blawan hot springs consist of bicarbonate water (at locations of AP-01, AP-02, AP-03) and chloride water (at locations of AP-04, AP-05, and AP-06), with a reservoir temperature of approximately 90 • C based on the Na-K-Ca geothermometer results. An estimate of the geothermal energy using the volumetric method, gave a total geothermal reserve potential of 1.823 MWe.

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“…Synthetic aperture radar (SAR) with very high-resolution images plays a crucial role in automatic target recognition (ATR) for their robust ability to work in all weather conditions during day and night in different applications such as homeland security, surveillance and military tasks [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Target recognition in SAR images using radial Chebyshev moments

Bolourchi

Demirel

Uysal

2017

SIViP

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In this study, a new algorithm for classification of ground vehicles from standard synthetic aperture radar (SAR) images is proposed. Radial Chebyshev moment (RCM) is a discrete orthogonal moment that has distinctive advantages over other moments for feature extraction. Unlike invariant moments, its orthogonal basis leads to having minimum information redundancy, and its discrete characteristics explore some benefits over Zernike moments (ZM) due to having no numerical errors and no computational complexity owing to normalization. In this context, we propose to use RCM as the feature extraction mechanism on the segmented image and to compare results of the fused images with both Zernike and radial Chebyshev moments. Firstly, by applying different threshold target and shadow parts of each SAR images are extracted separately. Then, segmented images are fused based on the combination of the extracted segmented region, segmented boundary and segmented texture. Experimental results will verify that accuracy of RCM, which improves significantly over the ZM. Ten percent improvement in the accuracy is obtained by using RCM and fusion of segmented target and shadow parts. Furthermore, feature fusion improves the total accuracy of the classification as high as 6%.

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Application of synthetic aperture radar (SAR) imagery to volcano mapping in the humid tropics: a case study in East Java, Indonesia

Cited by 39 publications

References 33 publications

Mapping lava flows from Nyamuragira volcano (1967–2011) with satellite data and automated classification methods

Mapping lava flows from Nyamuragira volcano (1967–2011) with satellite data and automated classification methods

Magnetotelluric-Geochemistry Investigations of Blawan Geothermal Field, East Java, Indonesia

Target recognition in SAR images using radial Chebyshev moments

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